IndicIFEval-Ground - Assamese: leaderboard

Metric: Prompt-level loose accuracy (%, 0-100) on the Assamese prompts; IndicIFEval-Ground: prompts generated by Gemini 2.5 from native Indic web text (sangraha-verified) for six constraint types (keyword inclusion, prohibition and frequency, paragraph and sentence count, first word), verified by native speakers; a different prompt set per language; IFEval-style verifiable instructions checked by the IFEval rules with Indic NLP Library tokenization and sentence splitting; prompt-level loose accuracy (a prompt counts when all of its instructions are followed, after minor formatting relaxations); greedy decoding through the LM Evaluation Harness; higher is better. Source: arxiv.org. Saturation forecast: Around March 2027. 19 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5 Mini (2025-08-07)75.5#165
2Qwen 3 14B74.3#524
3GPT-573.2#91
4Qwen 3 8B73.2#667
5Qwen 3 32B73.2#424
6Qwen 3 4B71.2#823
7Gemma 3 27B (IT)69.3#509
8Gemini 3 Flash64.6#93
9Llama 3.1 8B Instruct62.6#1018
10Gemini 3 Pro62.3#77
11Gemma 3 4B (IT)61.5#971
12Qwen 3 1.7B59.9#1186
13aya-expanse-32B59.9#680
14Gemma 3 12B (IT)58.4#655
15Llama 3.2 3B Instruct58#1321

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=indicifeval-ground-assamese · How It Works · Data refreshed daily, snapshot 2026-10-11.